• DocumentCode
    2652454
  • Title

    Conversion model of one-minute rainfall rate distribution in Singapore

  • Author

    Zhou, X.X. ; Lee, Y.H. ; Ong, J.T.

  • Author_Institution
    Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2009
  • fDate
    1-5 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The prediction model proposed by Karasawa and Matsudo is a simplified method for the conversion of 1-minute rain rate from hourly rainfall rate data. In this paper, studies on the Karasawa and Matsudo model have been done to obtain suitable parameters for the local climatic conditions in Singapore. Data from recent years are used to derive the a and b parameters of the Karasawa and Matsudo model. The refined model with these parameters is proposed. The results show that the refined coefficients perform better in prediction accuracy for local climate as compared to the original ones. It is found that the RMS error and absolute error are small and the prediction accuracy is high (improved over the original model). Furthermore, the prediction results are not affected by neither the occurrences of the El Nintildeo/La Nintildea nor the physical location. Therefore, this proposed refined model is a general model suitable for the Singapore climate.
  • Keywords
    climatology; hydrological techniques; rain; 1-minute rain rate; RMS error; Singapore; conversion model; hourly rainfall rate data; local climate; local climatic condition; one-minute rainfall rate distribution; prediction accuracy; prediction model; Attenuation; Databases; Distribution functions; Electronic mail; Frequency conversion; Prediction methods; Predictive models; Rain; Satellites; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2009. APSURSI '09. IEEE
  • Conference_Location
    Charleston, SC
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4244-3647-7
  • Type

    conf

  • DOI
    10.1109/APS.2009.5172005
  • Filename
    5172005